Skip to content

Instantly share code, notes, and snippets.

@aarondfrancis
aarondfrancis / audit-your-codebase.md
Created August 14, 2026 15:20
A read-only, agent-orchestrated codebase audit prompt for data structures, state modeling, algorithms, and ownership.

Audit this entire codebase for materially useful simplifications in its data structures, state representation, control flow, algorithms, and ownership.

This is an audit-only exercise. Do not edit files, run tests, implement recommendations, commit, or push. Read-only inspection commands are allowed.

You are the coordinator. Continue until the complete codebase has been reviewed and the final audit is validated.

  1. Establish the coverage contract

Inspect the repository and inventory every identifiable subsystem.

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

17.0.0 Save File Management

Hello! It's been a while since I've done any write-ups, but I thought I'd do one to (hopefully) bring a little clarity to a situation that's been causing a lot of confusion and misinformation.

I'm thinking I'll go through what the problem is and why it happens. So, I guess, let's dive in:

What's happening?

Some people are finding that upon updating to 17.0.0, their consoles are getting a blackscreen and refusing to boot further.

@echo off & setlocal enableextensions
title Reset AnyDesk
reg query HKEY_USERS\S-1-5-19 >NUL || (echo Please Run as administrator.& pause >NUL&exit)
chcp 437
call :stop_any
del /f "%ALLUSERSPROFILE%\AnyDesk\service.conf"
del /f "%APPDATA%\AnyDesk\service.conf"
copy /y "%APPDATA%\AnyDesk\user.conf" "%temp%\"
rd /s /q "%temp%\thumbnails" 2>NUL
xcopy /c /e /h /r /y /i /k "%APPDATA%\AnyDesk\thumbnails" "%temp%\thumbnails"
@x0nu11byt3
x0nu11byt3 / elf_format_cheatsheet.md
Created February 27, 2021 05:26
ELF Format Cheatsheet

ELF Format Cheatsheet

Introduction

Executable and Linkable Format (ELF), is the default binary format on Linux-based systems.

ELF

Compilation

@marmakoide
marmakoide / README.md
Last active August 18, 2026 19:19
Returns N (approximatively) evenly spread points over the unit disc (aka. Vogel's method)

Golden dot spiral on the disc

This code sample demonstrates how to generates a set of points that covers a disc almost evenly, for any number of points. The trick is to use a Fermat's spiral and the golden angle.

42 points 256 points 999 points
dot spiral, 42 points dot spiral, 256 points dot spiral, 999 points
@actsasgeek
actsasgeek / starter.md
Last active August 18, 2026 19:19
EN685.648 Starter Pack

EN685.648 Data Science

This course requires knowledge of Python and SQL (the requirement is listed in the course description). If you do not know Python, you will not do well and the course will be that much harder.

Infrastructure

  1. You are very strongly encouraged to use a computer upon which you have administrator/superuser privileges. I cannot help you with problems associated with the installation of software and libraries.
  2. You are encouraged to use "Unix"-style operating system (MacOS or Linux flavor) either directly or in a virual environment (Docker or VirtualBox). It's not required but you should be multi-hosted when it comes to OSes and the examples of command line utilities will be in 'Nix. This is not necessary to excel in the class but it is helpful. Many platforms are built on Linux and you should learn to use it.
  3. Ideally, you should have your environment up and running before the semester starts but no later than the 2nd day of class (that first Friday). There is a test a
function JsonToRows(json){
const keys = Object.keys(json[0]);
const values = json.map(function(row){
return keys.map(function(key){
return row[key];
})
})
return [keys, ...values];
}